+ jRt^RIHt^RIHt^RIHtHtHtH t ^RI H t H t ^RI HtHt]P !]4tRt!RR]R R 7t!R R ]R R 7t]!R R]44tR.tR#)z Processor class for Janus. ) BatchFeature ImageInput)ProcessingKwargsProcessorMixin TextKwargsUnpack)PreTokenizedInput TextInput)auto_docstringloggingzYou are a helpful language and vision assistant. You are able to understand the visual content that the user provides, and assist the user with a variety of tasks using natural language. c0a]tRt^"toRtV3RltRtVtR#)JanusTextKwargsa_ generation_mode (`str`, *optional*, defaults to `"text"`): The generation mode indicating which modality to generate. Can be one of `"text"` or `"image"`. When set to `"text"`, the processor prepares inputs for text generation. When set to `"image"`, it prepares inputs for image generation by appending image start tokens to the prompt. c&<V^8dQh/S[;R&#)generation_mode)str)format __classdict__s"k/home/luca/screen-checking/.venv/lib/python3.14/site-packages/transformers/models/janus/processing_janus.py __annotate__JanusTextKwargs.__annotate__"sN)__name__ __module__ __qualname____firstlineno____doc____annotate_func____static_attributes____classdictcell__rs@rrr"srrF)totalcHa]tRt^-toRRRRRRR/RR R //tV3R ltR tVtR #)JanusProcessorKwargs text_kwargspaddingF padding_sideleftrtext common_kwargsreturn_tensorsptc&<V^8dQh/S[;R&#)rr&)r)rrs"rr!JanusProcessorKwargs.__annotate__-s  rrN)rrrr _defaultsrr r!r"s@rr%r%-s4  5.&BSU[\*D1Irr%caa]tRt^5to]tR V3RlV3Rlllt]R V3RlV3Rlll4tV3RlRlt V3RlRlt R R lt R t Vt V;t#)JanusProcessorc:<V^8dQhRS[R,RS[RS[/#)r chat_templateNuse_default_system_promptnum_image_tokens)rboolint)rrs"rrJanusProcessor.__annotate__9s4RRTz R $( R  Rrc <WPnVPVnVPVnVPVnW@n\SV`!WVR7R#)z use_default_system_prompt (`bool`, *optional*, defaults to `False`): Use default system prompt for Text Generation. num_image_tokens (`int`, *optional*, defaults to `576`): The number of placeholder image tokens needed per one image. )r4N) r6 image_token boi_tokenimage_start_token eoi_tokenimage_end_tokenr5super__init__)selfimage_processor tokenizerr4r5r6kwargs __class__s&&&&&&,rrAJanusProcessor.__init__9sM!1$00!*!4!4(22)B& =Qrc<V^8dQhRS[S[,S[S[,,S[S[,,RS[R,RS[S[,RS[/#)rr*imagesNrEreturn)r r listrrr%r)rrs"rrr9QsX++d9o=EV@WWT!-.   rc ~<VP!\3RVPP/VBpVR,P R4pVP 'd"VR8XdVUu.uF p\ V 2NK ppM%VR8XdVUu.uFqf VP 2NK pp\SV`$!RRVRV/VBpV#uupiuupi)a Returns: [`BatchFeature`]: A [`BatchFeature`] with the following fields: - **input_ids** -- List of token ids to be fed to a model. Returned when `text` is not `None`. - **attention_mask** -- List of indices specifying which tokens should be attended to by the model (when `return_attention_mask=True` or if *"attention_mask"* is in `self.model_input_names` and if `text` is not `None`). - **pixel_values** -- Pixel values to be fed to a model. Returned when `images` is not `None`. tokenizer_init_kwargsr&rr*imagerIr) _merge_kwargsr%rD init_kwargspopr5DEFAULT_SYSTEM_PROMPTr=r@__call__) rBr*rIrE output_kwargsrsample model_inputsrFs &&&, rrSJanusProcessor.__call__Ps$**  8<8R8R V\ ( 6::;LM  ) ) )o.GEIJT6,-fX6TDJD  'FJKdFht5567dDKw'RvRDRMR  KKs $B5B:c,<V^8dQhRS[RS[RS[/#)r image_inputs image_idxrJ)dictr8r)rrs"rrr9os#SVrc VPVPVP,,VP,pV#)N)r=r;r6r?)rBrYrZrEone_img_tokenss&&&, rreplace_image_token"JanusProcessor.replace_image_tokenos5//43C3CdF[F[3[\_c_s_ssrc <V^8dQhRS[/#)rrIr)rrs"rrr9ssBB*Brc <VPP!V3/VB#)z Forwards all arguments to the image processor's `postprocess` method. Refer to the original method's docstring for more details. )rC postprocess)rBrIrEs&&,rrbJanusProcessor.postprocessss ##//A&AArc VeVR8XdVP!V3RV/VB#VR8Xd6\VP44pVPVRR7pVR,#\ VP P RV R24h) a Post-process the output of a multimodal model to return the requested modality output. If the model cannot generated the requested modality, an error will be raised. Args: generated_outputs (`torch.Tensor` or `np.ndarray`): The output of the model `generate` function. The output is expected to be a tensor of shape `(batch_size, sequence_length)` or `(sequence_length,)`. skip_special_tokens (`bool`, *optional*, defaults to `True`): Whether or not to remove special tokens in the output. Argument passed to the tokenizer's `batch_decode` method. generation_mode (`str`, *optional*): Generation mode indicated which modality to output and can be one of `["text", "image", "audio"]`. **kwargs: Additional arguments to be passed to the tokenizer's `batch_decode method`. Returns: `list[Union[str, PIL.Image.Image]]`: The decoded text or generated image. r*skip_special_tokensrNzPIL.Image.Image)r, pixel_valuesz# got an unexpected generation_mode=z.. Supported options are only `text` and `image)post_process_image_text_to_textrKfloatrb ValueErrorrFr)rBgenerated_outputsrerrErIs&&&&, rpost_process_multimodal_output-JanusProcessor.post_process_multimodal_outputzs*  "o&?77!7JNT  ' $%6%<%<%> ? %%&7HY%ZF.) )>>**++NN_`NO r)r?r=r;r6r5)NFi@)NN)TN)rrrrr%valid_processor_kwargsrAr rSr^rbrkr r! __classcell__)rFrs@@rr2r25sP1RR.<BB""rr2N)rfeature_extraction_utilsr image_utilsrprocessing_utilsrrrrtokenization_utils_baser r utilsr r get_loggerrloggerrRrr%r2__all__rrrrws5%TTC,   H %Nj+5f^ffR  r